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|Title:||Formulating dynamic agents’ operational state via situation awareness assessment||Authors:||Mostafa, S.A.
Sharifuddin Ahmad, M.
|Keywords:||Autonomous agents||Issue Date:||2015||Journal:||Advances in Intelligent Systems and Computing Volume 320, 2015, 20p||Abstract:||Managing autonomy in a dynamic interactive system that contains a mix of human and software agent intelligence is a challenging task. In such systems, giving an agent a complete control over its autonomy is a risky practice while manually setting the agent’s autonomy level is an inefficient approach. This paper addresses this issue via formulating a Situation Awareness Assessment (SAA) technique to assist in determining an appropriate agents’ operational state. We propose four operational states of agents’ execution cycles; proceed, halt, block and terminate, each of which is determined based on the agents’ performance. We apply the SAA technique in a proposed Layered Adjustable Autonomy (LAA) model. The LAA conceptualizes autonomy as a spectrum and is constructed in a layered structure. The SAA and the LAA notions are applicable to humans’ and agents’ collaborative environment. We provide an experimental scenario to test and validate the proposed notions in a real-time application. © Springer International Publishing Switzerland 2015.||URI:||https://pure.uniten.edu.my/en/persons/azhana-ahmad/publications/||DOI:||10.1007/978-3-319-11218-3_49|
|Appears in Collections:||CSIT Scholarly Publication|
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